Cargando…

Multi-omics & pathway analysis identify potential roles for tumor N-acetyl aspartate accumulation in murine models of castration-resistant prostate cancer

Castration-resistant prostate cancer (CRPC) is incurable and remains a significant worldwide challenge (Oakes and Papa, 2015). Matched untargeted multi-level omic datasets may reveal biological changes driving CRPC, identifying novel biomarkers and/or therapeutic targets. Untargeted RNA sequencing,...

Descripción completa

Detalles Bibliográficos
Autores principales: Salji, Mark J., Blomme, Arnaud, Däbritz, J. Henry M., Repiscak, Peter, Lilla, Sergio, Patel, Rachana, Sumpton, David, van den Broek, Niels J.F., Daly, Ronan, Zanivan, Sara, Leung, Hing Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8957019/
https://www.ncbi.nlm.nih.gov/pubmed/35345457
http://dx.doi.org/10.1016/j.isci.2022.104056
_version_ 1784676681818046464
author Salji, Mark J.
Blomme, Arnaud
Däbritz, J. Henry M.
Repiscak, Peter
Lilla, Sergio
Patel, Rachana
Sumpton, David
van den Broek, Niels J.F.
Daly, Ronan
Zanivan, Sara
Leung, Hing Y.
author_facet Salji, Mark J.
Blomme, Arnaud
Däbritz, J. Henry M.
Repiscak, Peter
Lilla, Sergio
Patel, Rachana
Sumpton, David
van den Broek, Niels J.F.
Daly, Ronan
Zanivan, Sara
Leung, Hing Y.
author_sort Salji, Mark J.
collection PubMed
description Castration-resistant prostate cancer (CRPC) is incurable and remains a significant worldwide challenge (Oakes and Papa, 2015). Matched untargeted multi-level omic datasets may reveal biological changes driving CRPC, identifying novel biomarkers and/or therapeutic targets. Untargeted RNA sequencing, proteomics, and metabolomics were performed on xenografts derived from three independent sets of hormone naive and matched CRPC human cell line models of local, lymph node, and bone metastasis grown as murine orthografts. Collectively, we tested the feasibility of muti-omics analysis on models of CRPC in revealing pathways of interest for future validation investigation. Untargeted metabolomics revealed NAA and NAAG commonly accumulating in CRPC across three independent models and proteomics showed upregulation of related enzymes, namely N-acetylated alpha-linked acidic dipeptidases (FOLH1/NAALADL2). Based on pathway analysis integrating multiple omic levels, we hypothesize that increased NAA in CRPC may be due to upregulation of NAAG hydrolysis via NAALADLases providing a pool of acetyl Co-A for upregulated sphingolipid metabolism and a pool of glutamate and aspartate for nucleotide synthesis during tumor growth.
format Online
Article
Text
id pubmed-8957019
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-89570192022-03-27 Multi-omics & pathway analysis identify potential roles for tumor N-acetyl aspartate accumulation in murine models of castration-resistant prostate cancer Salji, Mark J. Blomme, Arnaud Däbritz, J. Henry M. Repiscak, Peter Lilla, Sergio Patel, Rachana Sumpton, David van den Broek, Niels J.F. Daly, Ronan Zanivan, Sara Leung, Hing Y. iScience Article Castration-resistant prostate cancer (CRPC) is incurable and remains a significant worldwide challenge (Oakes and Papa, 2015). Matched untargeted multi-level omic datasets may reveal biological changes driving CRPC, identifying novel biomarkers and/or therapeutic targets. Untargeted RNA sequencing, proteomics, and metabolomics were performed on xenografts derived from three independent sets of hormone naive and matched CRPC human cell line models of local, lymph node, and bone metastasis grown as murine orthografts. Collectively, we tested the feasibility of muti-omics analysis on models of CRPC in revealing pathways of interest for future validation investigation. Untargeted metabolomics revealed NAA and NAAG commonly accumulating in CRPC across three independent models and proteomics showed upregulation of related enzymes, namely N-acetylated alpha-linked acidic dipeptidases (FOLH1/NAALADL2). Based on pathway analysis integrating multiple omic levels, we hypothesize that increased NAA in CRPC may be due to upregulation of NAAG hydrolysis via NAALADLases providing a pool of acetyl Co-A for upregulated sphingolipid metabolism and a pool of glutamate and aspartate for nucleotide synthesis during tumor growth. Elsevier 2022-03-11 /pmc/articles/PMC8957019/ /pubmed/35345457 http://dx.doi.org/10.1016/j.isci.2022.104056 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Salji, Mark J.
Blomme, Arnaud
Däbritz, J. Henry M.
Repiscak, Peter
Lilla, Sergio
Patel, Rachana
Sumpton, David
van den Broek, Niels J.F.
Daly, Ronan
Zanivan, Sara
Leung, Hing Y.
Multi-omics & pathway analysis identify potential roles for tumor N-acetyl aspartate accumulation in murine models of castration-resistant prostate cancer
title Multi-omics & pathway analysis identify potential roles for tumor N-acetyl aspartate accumulation in murine models of castration-resistant prostate cancer
title_full Multi-omics & pathway analysis identify potential roles for tumor N-acetyl aspartate accumulation in murine models of castration-resistant prostate cancer
title_fullStr Multi-omics & pathway analysis identify potential roles for tumor N-acetyl aspartate accumulation in murine models of castration-resistant prostate cancer
title_full_unstemmed Multi-omics & pathway analysis identify potential roles for tumor N-acetyl aspartate accumulation in murine models of castration-resistant prostate cancer
title_short Multi-omics & pathway analysis identify potential roles for tumor N-acetyl aspartate accumulation in murine models of castration-resistant prostate cancer
title_sort multi-omics & pathway analysis identify potential roles for tumor n-acetyl aspartate accumulation in murine models of castration-resistant prostate cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8957019/
https://www.ncbi.nlm.nih.gov/pubmed/35345457
http://dx.doi.org/10.1016/j.isci.2022.104056
work_keys_str_mv AT saljimarkj multiomicspathwayanalysisidentifypotentialrolesfortumornacetylaspartateaccumulationinmurinemodelsofcastrationresistantprostatecancer
AT blommearnaud multiomicspathwayanalysisidentifypotentialrolesfortumornacetylaspartateaccumulationinmurinemodelsofcastrationresistantprostatecancer
AT dabritzjhenrym multiomicspathwayanalysisidentifypotentialrolesfortumornacetylaspartateaccumulationinmurinemodelsofcastrationresistantprostatecancer
AT repiscakpeter multiomicspathwayanalysisidentifypotentialrolesfortumornacetylaspartateaccumulationinmurinemodelsofcastrationresistantprostatecancer
AT lillasergio multiomicspathwayanalysisidentifypotentialrolesfortumornacetylaspartateaccumulationinmurinemodelsofcastrationresistantprostatecancer
AT patelrachana multiomicspathwayanalysisidentifypotentialrolesfortumornacetylaspartateaccumulationinmurinemodelsofcastrationresistantprostatecancer
AT sumptondavid multiomicspathwayanalysisidentifypotentialrolesfortumornacetylaspartateaccumulationinmurinemodelsofcastrationresistantprostatecancer
AT vandenbroeknielsjf multiomicspathwayanalysisidentifypotentialrolesfortumornacetylaspartateaccumulationinmurinemodelsofcastrationresistantprostatecancer
AT dalyronan multiomicspathwayanalysisidentifypotentialrolesfortumornacetylaspartateaccumulationinmurinemodelsofcastrationresistantprostatecancer
AT zanivansara multiomicspathwayanalysisidentifypotentialrolesfortumornacetylaspartateaccumulationinmurinemodelsofcastrationresistantprostatecancer
AT leunghingy multiomicspathwayanalysisidentifypotentialrolesfortumornacetylaspartateaccumulationinmurinemodelsofcastrationresistantprostatecancer